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In this paper, we present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and dual direction download of the files by multiple cloud nodes. Partitions of the files are also saved into the cloud rather than the full files, which provide a good optimization to the cloud storage usage. Only partial replication is used...
In this paper, we present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and dual direction download of the files by multiple cloud servers. Partitions of the files are also saved on the cloud rather than the full files, which provides a good optimization to the cloud storage usage. Partial replication is used in...
This paper presents an easy and direct algorithm to solve the issue of load balancing in providing Data as a Service (DaaS) in the Cloud. The algorithm is based on some earlier approach for efficient dual direction data downloading. Our contribution is in solving the issue of the high storage demand when storing replicated data in multiple Cloud nodes. Rather than storing full replicas, our approach...
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